Theory and Practice of Model Transformation

10th International Conference, ICMT 2017, Held as Part of STAF 2017, Marburg, Germany, July 17-18, 2017, Proceedings

  • Esther Guerra
  • Mark van den Brand
Conference proceedings ICMT 2017

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10374)

Also part of the Programming and Software Engineering book sub series (LNPSE, volume 10374)

Table of contents

  1. Front Matter
    Pages I-XIV
  2. Transformation Paradigms, Languages, Algorithms and Strategies

  3. Development of Transformations

    1. Front Matter
      Pages 67-67
    2. Loli Burgueño, Frank Hilken, Antonio Vallecillo, Martin Gogolla
      Pages 69-85
    3. Timo Kehrer, Abdullah Alshanqiti, Reiko Heckel
      Pages 92-107
    4. Kevin Lano, Shekoufeh Kolahdouz-Rahimi, Sobhan Yassipour-Tehrani, Mohammadreza Sharbaf
      Pages 108-118
  4. Applications and Case Studies

    1. Front Matter
      Pages 119-119
    2. Oszkár Semeráth, Dániel Varró
      Pages 138-154
    3. Jeremy Ho, Jens Weber, Morgan Price
      Pages 155-170
    4. Nebras Nassar, Hendrik Radke, Thorsten Arendt
      Pages 171-181
  5. Back Matter
    Pages 183-183

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 10th International Conference on Model Transformation, ICMT 2017, held as part of STAF 2017, in Marburg, Germany, in July 2017.

The 9 full papers and 2 short papers were carefully reviewed and selected from 31 submissions. The papers are organized in the following topical sections:  transformation paradigms, languages, algorithms and strategies; development of transformations; and applications and case studies.

Keywords

software engineering model transformation software design computer architecture systems analysis model driven development model-driven engineering graph theory semantics programming languages problem solving computer programming optical communication artificial intelligence code generation graphic methods formal specification design patterns cluster analysis finite element method

Editors and affiliations

  1. 1.Department of Computer ScienceUniversidad Autónoma de MadridMadridSpain
  2. 2.Eindhoven University of TechnologyEindhovenThe Netherlands

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-61473-1
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-61472-4
  • Online ISBN 978-3-319-61473-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book